C-Suite Is the Biggest Risk to AI Adoption | ft. Patrick Jean

In this episode, Patrick Jean, Director of Sales Engineering at Crexendo, shares why most AI initiatives don’t fail because of bad technology, they fail because of how decisions are made at the top. Drawing from his 15+ years in enterprise tech, he breaks down the most common AI misconceptions he sees, why demos often mislead executives, and how “AI-first” strategies fall apart without integration, clean data, and real workflow alignment. He also explains why proof of concept success doesn’t mean you’re ready for production, and how rushed vendor choices quietly lock companies into long-term pain. At its core, this conversation is about leadership. Them listening to the people building and implementing systems, asking better questions before buying tools, and treating AI adoption as an operational change, not a buzzword race.

00:04 – Introduction
00:32 – The Biggest AI Misconception from Enterprise Demos
02:15 – What AI Governance Actually Means for Enterprises
04:20 – “AI-First” Vision vs Operational Reality
05:28 – Why Integration Makes or Breaks AI Adoption
06:46 – The C-Suite as the Biggest Risk to AI Adoption
09:01 – Where Executives Underestimate AI Complexity
11:54 – Real Story: When AI Made a Healthcare Workflow Worse
15:42 – AI Spend, Optics, and the Shiny Object Syndrome
36:30 – One Bold Piece of Advice for Executives

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